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Papers for “ade20k”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
Normalized Feature Distillation for Semantic SegmentationTao Liu, Xi Yang, Chenshu Chen2022arxiv 2207.05256
ResT V2: Simpler, Faster and StrongerQing-Long Zhang, Yu-Bin Yang2022arxiv 2204.07366
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic SegmentationDipam Goswami, René Schuster, Joost van de Weijer2022arxiv 2210.07207
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything ModelTimo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn2025arxiv 2505.05049
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification ArchitectureDong-Hee Kim, Sungduk Cho, Hyeonwoo Cho2024arxiv 2407.10733
Per-Pixel Classification is Not All You Need for Semantic SegmentationBowen Cheng, Alexander G. Schwing, Alexander Kirillov2021arxiv 2107.06278
DMT: Comprehensive Distillation with Multiple Self-supervised TeachersYuang Liu, Jing Wang, Qiang Zhou2023arxiv 2312.11938
Effective SAM Combination for Open-Vocabulary Semantic SegmentationMinhyeok Lee, Suhwan Cho, Jungho Lee2024arxiv 2411.14723
Renovating Names in Open-Vocabulary Segmentation BenchmarksHaiwen Huang, Songyou Peng, Dan Zhang2024arxiv 2403.09593
Compensation Learning in Semantic SegmentationTimo Kaiser, Christoph Reinders, Bodo Rosenhahn2023arxiv 2304.13428
MambaVision: A Hybrid Mamba-Transformer Vision BackboneAli Hatamizadeh, Jan Kautz2024arxiv 2407.08083
DCANet: Dense Context-Aware Network for Semantic SegmentationYifu Liu, Chenfeng Xu, Xinyu Jin2021arxiv 2104.02533
Self-attention on Multi-Shifted Windows for Scene SegmentationLitao Yu, Zhibin Li, Jian Zhang2022arxiv 2207.04403
Multi-Path Feedback Recurrent Neural Network for Scene ParsingXiaojie Jin, Yunpeng Chen, Jiashi Feng2016arxiv 1608.07706
Brain-Inspired Stepwise Patch Merging for Vision TransformersYonghao Yu, Dongcheng Zhao, Guobin Shen2024arxiv 2409.06963
Low-Resolution Self-Attention for Semantic SegmentationYu-Huan Wu, Shi-Chen Zhang, Yun Liu2023arxiv 2310.05026
AASeg: Attention Aware Network for Real Time Semantic SegmentationAbhinav Sagar2021arxiv 2108.04349
Full Contextual Attention for Multi-resolution Transformers in Semantic SegmentationLoic Themyr, Clement Rambour, Nicolas Thome2022arxiv 2212.07890
Neural Prior Estimation: Learning Class Priors from Latent RepresentationsMasoud Yavari, Payman Moallem2026arxiv 2602.17853
StaticSegFormer: An Efficient High-Performance Semantic Segmentation Based on Static Structured PruningTimo Bartels, Danish Nazir, Jan Piewek2026arxiv 2608.04811